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Artículo: AMZ-B0G33RZRMK
SQL for Data Warehousing: Lightning-Fast Analytics Design for Cloud, Lakehouse, and BI Teams
Format:
Paperback
Detalles del producto
Disponibilidad
En stock
En stock
Peso con empaque
1.30 kg
1.30 kg
Devolución
Sí
Sí
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Modern organizations run on data—but only those who master SQL for Data Warehousing can turn raw information into real competitive advantage. This book shows you how to build high-performing, future-ready warehouses step-by-step using today’s most advanced SQL patterns and cloud platforms. Book SummaryData is growing faster than ever, and so are the demands placed on analytics teams. Businesses need real-time dashboards, accurate forecasts, AI-ready datasets, and reliable pipelines—all without blowing through compute budgets. SQL for Data Warehousing: Proven Strategies to Model, Query, and Scale Enterprise Data is your complete guide to meeting those demands with confidence.Whether you’re a data engineer, analytics engineer, BI developer, or architect, this book bridges the gap between theory and practical implementation. You’ll learn how modern warehouses operate across lakehouse storage, incremental ELT pipelines, real-time ingestion, and federated query engines—and how SQL acts as the backbone that ties each layer together. Every chapter distills complex architectural decisions into clear steps, illustrated patterns, and production-tested SQL techniques you can apply immediately.Written in a conversational, beginner-friendly style without sacrificing depth, this book walks you through modeling facts and dimensions, implementing SCDs, designing CDC pipelines, optimizing queries, tuning performance, enforcing governance, and building analytical systems that scale. You’ll also explore AI-native features, serverless ETL, DirectLake reporting, and emerging standards transforming the future of enterprise data. What’s InsideEnd-to-end warehouse architecture—from staging zones to semantic layers, star schemas, and data vaults.Production-grade SQL patterns for CDC merges, materialized views, window functions, time travel, and advanced aggregations.Cloud-specific guidance for Snowflake, BigQuery, Redshift, Azure Fabric, Delta Lake, and cross-warehouse queries.Operational excellence frameworks covering governance, lineage, observability, cost control, HA/DR, and incident response.A full retail case study showing how to design, build, and optimize a real enterprise warehouse from scratch.If you’re ready to take your data engineering, analytics, or BI career to the next level, this is the guide that will get you there. Start your journey toward building smarter, faster, enterprise-grade data warehouses—get your copy today and transform the way you work with SQL forever.
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